Risk prediction and early intervention strategies for persistent SARS-CoV-2 infection in patients with non-Hodgkin lymphoma: a retrospective cohort study.

IF 2.8 3区 医学 Q2 RESPIRATORY SYSTEM BMC Pulmonary Medicine Pub Date : 2025-03-15 DOI:10.1186/s12890-025-03524-0
Wailong Zou, Jia Zhang, Yulin Li, Yuwei Cao, Jiaxin Li, Zhe Zhang, Xin Zhang, Chuan Song, Rui Yang, Yaxin Yan, Yumin Wang, Xinjun Zhang, Zhe Xu, Jichao Chen
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Abstract

Background: Patients with non-Hodgkin lymphoma (NHL) face heightened mortality and accelerated disease progression when persistently infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This critical situation underscores the urgent need to identify risk factors and establish early intervention strategies tailored to this vulnerable population. The primary aim of this study was to investigate the risk factors associated with persistent SARS-CoV-2 infection in NHL patients during the COVID-19 pandemic.

Methods: A retrospective cohort study was conducted using data from January 2020 to June 2024, obtained from the Aerospace Center Hospital's database, electronic health records, and laboratory archives. Inclusion criteria comprised patients with confirmed NHL and SARS-CoV-2 infection, with persistence defined as positive viral test results beyond 14 days after initial diagnosis. Patients with incomplete medical records or loss of follow-up were excluded. Predictive models were developed and refined using logistic regression and random forest algorithms. The models incorporated data on demographics, comorbidities, laboratory findings, and imaging results. Model performance was evaluated using accuracy, precision, and the area under the receiver operating characteristic curve (AUC-ROC). Validation was conducted on an independent dataset to ensure generalizability, and the best-performing model guided the development of a prediction tool for early risk assessment and intervention.

Results: Key risk factors for persistent SARS-CoV-2 infection in NHL patients included advanced age, hypertension, diabetes, immunosuppressed status, low lymphocyte count, elevated C-reactive protein, high body mass index, anemia, reduced CD4 + cell count, and the presence of lung lesions. The random forest model demonstrated superior predictive performance, achieving an AUC of 0.93. The study further highlighted that prompt antiviral therapy, adjustments to immunosuppressive regimens, and enhanced monitoring significantly reduced infection persistence.

Conclusions: This study identifies critical risk factors for persistent SARS-CoV-2 infection in NHL patients and underscores the importance of early intervention strategies. These findings may guide clinical decision-making to improve outcomes in this high-risk population.

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非霍奇金淋巴瘤患者持续SARS-CoV-2感染的风险预测和早期干预策略:一项回顾性队列研究
背景:持续感染严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)的非霍奇金淋巴瘤(NHL)患者面临更高的死亡率和加速的疾病进展。这一危急情况突出表明,迫切需要确定风险因素,并制定适合这一弱势群体的早期干预战略。本研究的主要目的是调查COVID-19大流行期间NHL患者持续感染SARS-CoV-2的相关危险因素。方法:采用航空航天中心医院数据库、电子健康记录和实验室档案中2020年1月至2024年6月的数据进行回顾性队列研究。纳入标准包括确诊为NHL和SARS-CoV-2感染的患者,其持续定义为在初步诊断后14天以上病毒检测结果呈阳性。排除医疗记录不完整或随访缺失的患者。使用逻辑回归和随机森林算法开发和完善了预测模型。这些模型纳入了人口统计学、合并症、实验室结果和影像学结果的数据。使用准确度、精密度和受试者工作特征曲线下面积(AUC-ROC)来评估模型的性能。在一个独立的数据集上进行验证,以确保通用性,并且表现最佳的模型指导了早期风险评估和干预预测工具的开发。结果:NHL患者持续感染SARS-CoV-2的关键危险因素包括高龄、高血压、糖尿病、免疫抑制状态、淋巴细胞计数低、c反应蛋白升高、体重指数高、贫血、CD4 +细胞计数降低和肺部病变。随机森林模型表现出较好的预测性能,AUC达到0.93。该研究进一步强调,及时抗病毒治疗、调整免疫抑制方案和加强监测可显著降低感染的持久性。结论:本研究确定了NHL患者持续感染SARS-CoV-2的关键危险因素,并强调了早期干预策略的重要性。这些发现可以指导临床决策,以改善这一高危人群的预后。
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来源期刊
BMC Pulmonary Medicine
BMC Pulmonary Medicine RESPIRATORY SYSTEM-
CiteScore
4.40
自引率
3.20%
发文量
423
审稿时长
6-12 weeks
期刊介绍: BMC Pulmonary Medicine is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of pulmonary and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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